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The book guides the smart computing community toward future directions in cognitive research and demonstrates how these advances can be applied to next-generation smart systems. It further identifies applications that demonstrate innovative ways of utilizing cognition-based smart computing for solving various real-world problems.• Presents cognitive modeling in machine consciousness and human cognition.• Covers artificial intelligence (AI) and its applications in machine self-learning, human-computer interaction, natural language (NL) processing, cognitive models, and architectures.• Discusses machine learning (ML) and cognitive computing for mobile communications, and wireless networks.• Explains the foundation, framework, and applications of cognition based smart computing in a single volume.• Showcases key issues and challenges in the emerging area of cognitive computation and promotes an interdisciplinary understanding of the diversity in the adaptation of cognition in smart computing.The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.

This book explores the role of the Internet of Things (IoT) in achieving sustainable development goals (SDGs). It provides a comprehensive overview of how IoT technologies enhance energy efficiency, promote clean energy, support environmental monitoring, and facilitate sustainable practices across various sectors. It features real-world case studies, explores key challenges and opportunities, and additionally discusses the integration of machine learning and 5G technology for sustainable development.Discussion on the fundamental technologies driving smart IoT-based sustainable development, including sensors, data acquisition, and cloud computingExamination of various aspects of energy efficiency and optimization achieved through IoT, presentation of IoT solutions for monitoring, and managing environmental parametersExploration of the scope for integrating machine learning and 5G technologies with IoT for enhanced sustainable developmentAnalysis of the challenges and solutions related to data privacy and security in smart IoT systemsInclusion of diverse real-world case studies demonstrating successful IoT applications in various sectors to achieve SDGs using smart IoT and related technologiesThis book is a valuable resource for researchers and practitioners interested in the role of the Internet of Things in achieving sustainable development goals.The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC BY-NC-ND)] 4.0 license.

This book explores the role of the Internet of Things (IoT) in achieving sustainable development goals (SDGs). It provides a comprehensive overview of how IoT technologies enhance energy efficiency, promote clean energy, support environmental monitoring, and facilitate sustainable practices across various sectors. It features real-world case studies, explores key challenges and opportunities, and additionally discusses the integration of machine learning and 5G technology for sustainable development. Discussion on the fundamental technologies driving smart IoT-based sustainable development, including sensors, data acquisition, and cloud computing Examination of various aspects of energy efficiency and optimization achieved through IoT, presentation of IoT solutions for monitoring, and managing environmental parameters Exploration of the scope for integrating machine learning and 5G technologies with IoT for enhanced sustainable development Analysis of the challenges and solutions related to data privacy and security in smart IoT systems Inclusion of diverse real-world case studies demonstrating successful IoT applications in various sectors to achieve SDGs using smart IoT and related technologies This book is a valuable resource for researchers and practitioners interested in the role of the Internet of Things in achieving sustainable development goals.The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC BY-NC-ND)] 4.0 license.

The book guides the smart computing community toward future directions in cognitive research and demonstrates how these advances can be applied to next-generation smart systems. It further identifies applications that demonstrate innovative ways of utilizing cognition-based smart computing for solving various real-world problems.* Presents cognitive modeling in machine consciousness and human cognition.* Covers artificial intelligence (AI) and its applications in machine self-learning, human-computer interaction, natural language (NL) processing, cognitive models, and architectures.* Discusses machine learning (ML) and cognitive computing for mobile communications, and wireless networks.* Explains the foundation, framework, and applications of cognition based smart computing in a single volume.* Showcases key issues and challenges in the emerging area of cognitive computation and promotes an interdisciplinary understanding of the diversity in the adaptation of cognition in smart computing.The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.